code: def fit(self, x, y=None):
      results = additive(
          x,
          self.periodicity,
          self.forecasts,
          alpha=self.kwargs.get("alpha"),
          beta=self.kwargs.get("beta"),
          gamma=self.kwargs.get("gamma"),
      )
      self.params = {
          "alpha": results[1],
          "beta": results[2],
          "gamma": results[3],
      }
      self.rmse = results[4]
      return {
          "alpha": results[1],
          "beta": results[2],
          "gamma": results[3],
          "RMSE": self.rmse,
      }
  
file_path: lore/lore/estimators/holt_winters/__init__.py
imports: import logging
  from lore.env import require
  from lore.util import timed
  from lore.estimators.holt_winters.holtwinters import additive
  from sklearn.base import BaseEstimator
label_desc: Use image node_id 2 for calling the HoltWinters obj's underlying member method code with example usage: obj.fit(x, y) and returns: dict